Alessandro Alla

922 total citations
27 papers, 469 citations indexed

About

Alessandro Alla is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Numerical Analysis. According to data from OpenAlex, Alessandro Alla has authored 27 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistical and Nonlinear Physics, 10 papers in Statistics, Probability and Uncertainty and 9 papers in Numerical Analysis. Recurrent topics in Alessandro Alla's work include Model Reduction and Neural Networks (17 papers), Probabilistic and Robust Engineering Design (10 papers) and Advanced Control Systems Optimization (7 papers). Alessandro Alla is often cited by papers focused on Model Reduction and Neural Networks (17 papers), Probabilistic and Robust Engineering Design (10 papers) and Advanced Control Systems Optimization (7 papers). Alessandro Alla collaborates with scholars based in Italy, Brazil and Germany. Alessandro Alla's co-authors include J. Nathan Kutz, Steven L. Brunton, Samuel Rudy, Maurizio Falcone, Dante Kalise, Stefan Volkwein, Gianluigi Rozza, Annalisa Quaini, Max Gunzburger and Michael Hinze and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Advanced Optical Materials and SIAM Journal on Scientific Computing.

In The Last Decade

Alessandro Alla

25 papers receiving 449 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alessandro Alla Italy 9 331 156 107 89 70 27 469
Tong Qin United States 7 203 0.6× 165 1.1× 82 0.8× 39 0.4× 52 0.7× 11 387
Elizabeth Qian United States 7 215 0.6× 108 0.7× 98 0.9× 53 0.6× 43 0.6× 10 378
Kookjin Lee United States 9 302 0.9× 161 1.0× 88 0.8× 37 0.4× 27 0.4× 26 462
Qifeng Liao China 11 197 0.6× 105 0.7× 108 1.0× 78 0.9× 15 0.2× 34 368
Yiping Lu China 5 260 0.8× 93 0.6× 67 0.6× 31 0.3× 26 0.4× 17 386
Deep Ray United States 11 448 1.4× 370 2.4× 122 1.1× 29 0.3× 41 0.6× 24 727
Yeonjong Shin United States 11 177 0.5× 103 0.7× 85 0.8× 49 0.6× 16 0.2× 20 342
Gahl Berkooz Sweden 2 324 1.0× 365 2.3× 118 1.1× 47 0.5× 30 0.4× 2 606
Anthony Nouy France 9 254 0.8× 129 0.8× 184 1.7× 22 0.2× 37 0.5× 27 441
Roberto Molinaro Switzerland 9 347 1.0× 177 1.1× 47 0.4× 36 0.4× 16 0.2× 10 539

Countries citing papers authored by Alessandro Alla

Since Specialization
Citations

This map shows the geographic impact of Alessandro Alla's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alessandro Alla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Alla more than expected).

Fields of papers citing papers by Alessandro Alla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessandro Alla. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alessandro Alla. The network helps show where Alessandro Alla may publish in the future.

Co-authorship network of co-authors of Alessandro Alla

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Alla. A scholar is included among the top collaborators of Alessandro Alla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alessandro Alla. Alessandro Alla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Alla, Alessandro, et al.. (2025). State Dependent Riccati for dynamic boundary control to optimize irrigation in Richards’ equation framework. Mathematics and Computers in Simulation. 232. 261–275.
2.
Moro, Giulia, Vincent César, Stéphane Bellemin‐Laponnaz, et al.. (2025). Bright and Stable Electrochemiluminescence by Heterobimetallic Ir III ‐M I (M I = Cu I , Au I ) Complexes. Advanced Optical Materials. 13(14).
3.
Alla, Alessandro, et al.. (2024). Piecewise DMD for oscillatory and Turing spatio-temporal dynamics. Computers & Mathematics with Applications. 160. 108–124. 4 indexed citations
4.
Alla, Alessandro, Marta D’Elia, Christian Glusa, & Hugo Gonçalo Oliveira. (2023). Control of Fractional Diffusion Problems via Dynamic Programming Equations. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 6(2). 270–293. 1 indexed citations
5.
Alla, Alessandro, et al.. (2023). HJB-RBF Based Approach for the Control of PDEs. Journal of Scientific Computing. 96(1). 5 indexed citations
6.
Alla, Alessandro, et al.. (2020). A HJB-POD approach for the control of nonlinear PDEs on a tree structure. IRIS Research product catalog (Sapienza University of Rome). 15 indexed citations
7.
Rudy, Samuel, Alessandro Alla, Steven L. Brunton, & J. Nathan Kutz. (2019). Data-driven identification of parametric partial differential equations. IRIS Research product catalog (Sapienza University of Rome). 190 indexed citations
8.
Alla, Alessandro, et al.. (2019). An efficient DP algorithm on a tree-structure for finite horizon optimal control problems. IRIS Research product catalog (Sapienza University of Rome). 25 indexed citations
9.
Alla, Alessandro & J. Nathan Kutz. (2019). Randomized model order reduction. Advances in Computational Mathematics. 45(3). 1251–1271. 12 indexed citations
10.
Alla, Alessandro, et al.. (2019). A localized reduced-order modeling approach for PDEs with bifurcating solutions. Computer Methods in Applied Mechanics and Engineering. 351. 379–403. 29 indexed citations
11.
Alla, Alessandro & J. Nathan Kutz. (2017). Nonlinear model order reduction via dynamic mode decomposition. IRIS Research product catalog (Sapienza University of Rome). 59 indexed citations
12.
Alla, Alessandro, Maurizio Falcone, & Stefan Volkwein. (2017). Error Analysis for POD Approximations of Infinite Horizon Problems via the Dynamic Programming Approach. SIAM Journal on Control and Optimization. 55(5). 3091–3115. 25 indexed citations
13.
Kutz, J. Nathan, Samuel Rudy, Alessandro Alla, & Steven L. Brunton. (2017). Data-Driven discovery of governing physical laws and their parametric dependencies in engineering, physics and biology. IRIS Research product catalog (Sapienza University of Rome). 1–5. 7 indexed citations
14.
Alla, Alessandro, et al.. (2016). A residual based snapshot location strategy for POD in distributed optimal control of linear parabolic equations. IRIS Research product catalog (Sapienza University of Rome). 6 indexed citations
15.
Alla, Alessandro, Maurizio Falcone, & Dante Kalise. (2015). An accelerated value/policy iteration scheme for the solution of DP equations. 1 indexed citations
16.
Alla, Alessandro, Maurizio Falcone, & Dante Kalise. (2015). An Efficient Policy Iteration Algorithm for Dynamic Programming Equations. SIAM Journal on Scientific Computing. 37(1). A181–A200. 41 indexed citations
17.
Alla, Alessandro & Michael Hinze. (2015). HJB-POD feeback control of advection-diffusion equation with a model predictive control snapshot sampling. IFAC-PapersOnLine. 48(23). 527–532. 1 indexed citations
18.
Alla, Alessandro, et al.. (2015). Model order reduction approaches for the optimal design of permanent magnets in electro-magnetic machines. IFAC-PapersOnLine. 48(1). 242–247. 3 indexed citations
19.
Alla, Alessandro, Maurizio Falcone, & Dante Kalise. (2013). An Efficient Policy Iteration Algorithm for Dynamic Programming Equations. PAMM. 13(1). 467–468. 2 indexed citations
20.
Alla, Alessandro & Maurizio Falcone. (2013). A Time-Adaptive POD Method for Optimal Control Problems. IFAC Proceedings Volumes. 46(26). 245–250. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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